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Integrating phenomic selection using single-kernel near-infrared spectroscopy and genomic selection for corn breeding improvement
Integrating phenomic selection using single-kernel near-infrared spectroscopy and genomic selection for corn breeding improvement

Phenomic selection (PS) is a cost-effective method proposed for predicting complex traits and enhancing genetic gain in breeding programs. The statistical procedures are similar to those utilized in genomic selection (GS) models, but molecular markers data are replaced with phenomic data, such as near-infrared spectroscopy (NIRS). However, the use of NIRS applied to PS typically utilized destructive sampling or collected data after the establishment of selection experiments in the field

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